DICOM in Dart (DCMiD) Computer Integrated Surgery II, Spring 2014, Project 13 Damish Shah and Danielle Tinio, under the auspices of Dr. James Philbin Introduction Digital Imaging and Communication in Medicine (DICOM) is the standard for formatting, and transmitting medical imaging studies such as CT and MRI scans. Nearly all healthcare systems use the DICOM standard in their medical imaging equipment and information systems. It is crucial that information systems be created that allow end users to access and edit DICOM data in a fast, secure, and intuitive manner. Proposed Design Objectives Using Dart to create a zero-footprint web client The advantages of zero-footprint web clients over traditional software applications include the following: HIPAA covered patient data is not stored on the end point device, web applications can be maintained and upgraded without the need for access control on the end point device, improved security, and automatic application upgrades. Dart is a new, class-based, single-inheritance, object- oriented programming language designed explicitly for creating web applications. We propose to use Dart to demonstrate the viability of retrieving and displaying binary DICOM in a web application. Using the nested structure shown in Figure 1, our client will display DICOM data in a nested tree-table format, allowing the user to expand and collapse the information levels. Decreased Development Overhead One of our goals for the open-source DICOM web viewer was to decrease the amount of time and effort required for developers to contribute to the project. The Dart programming language is a fast and intuitive tool to create and maintain the web application. Dart is similar to many object-oriented programming languages, such as Java, C++, and C#. In contrast to JavaScript, the primary language used to create web applications, Dart is easy to learn and use because it is class-based and has good library and package management functionality. Like JavaScript, it is dynamically typed and functions and their closures are first class. Speed Increased speed of DICOM data management is significant for users such as large hospitals, which process hundreds of images daily, and regional Health Information Exchanges, that manage millions of images. As the use of medical images increases, it becomes more important to access and manipulate this data faster. Dart has an advantage over JavaScript in that it performs better on several major benchmarks. 1 Our goal was to be able to parse all of our DICOM test files in under 3 seconds. Engineering Research Center for Computer Integrated Surgical Systems and Technology Dataset Attributes Sequence Items list of can be list of each item contains Figure 2. Both axes are plotted using a logarithmic scale. Metadata files smaller than 0.1 MB are able to be parsed in less than 0.5 seconds. The largest file (3.99 MB) is parsed in approximately 2.5 seconds. Figure 1. Data structure of DICOM data. From the image, we can see that the relationship is recursive. A dataset has a list of attributes which can be a sequence. Sequences have lists of items, which each contain a dataset. Outcomes and Results Using the Dart, we developed a toolkit that is able to parse and display binary DICOM data in a web browser. We believe that this is the first time this has been accomplished. We also created an original, stand-alone HTML5 DOM element using Polymer in order to display the metadata in a collapsible tree-table view. This code will also be made open- source and can be used independently of the main web application. Figure 2 shows the average time it takes to parse each test file versus the file size. Our de-identified test data ranged from 3.9 KB to 3.99 MB. For the cases smaller than 0.1 MB, our program was able to parse the metadata in less than 0.5 seconds. Our program parsed the metadata of the largest file in approximately 2.5 seconds. Our work has demonstrated that Dart can be used to parse the data within our goal time. Our software was written quickly and has much room for optimization. Future Work Speed up server-client interaction Implement information entity structure Add overlay information Edit metadata in web browser Encrypt and decrypt studies Credits Damish wrote the binary parsers and worked on the server-client relationship. Danielle wrote the user interface and unit tests. Both partners checked and tested the code of the other person and wrote the API. References 1 Google. Dart VM and dart2js Performance. Polymer Library. Mahmoud Ismail, Yu Ning, and James Philbin, Separation of metadata and pixel data to speed DICOM tag morphing. SPIE Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, Forthcoming. Mahmoud Ismail, Yu Ning, James Philbin. Transmission of DICOM Studies using Multi-Series DICOM Objects. Proceedings SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications. April 8, Support by and Acknowledgements Thank you to: Dr. James Philbin, Dr. Taylor, CIS II TA and classmates